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公开(公告)号：US10992720B1
公开(公告)日：2021-04-27
申请号：US16167257
申请日：2018-10-22
Applicant: Facebook, Inc.
Inventor： Janaka Liyanage , Wenrui Zhao , Louis Eisenberg , Danilo Torres de Sa Resende , Eric Michel Giovanola , David Gross-Baser , Ami Vora , Srikant Ramakrishna Ayyar , Ajoy Joseph Frank
Abstract: A social networking system includes pages created by users for providing content related to topics of interest. An interaction engine captures data and maintains analytical information about how users interact with pages and posts. When a user takes an action such as liking a page or a post, the interaction engine updates the page's activity history to reflect the activity and information about the user who took the action. The interaction engine also measures the reach of pages and posts, by determining how and from where each user viewed the page and its contents. The interaction engine further tracks the community's interest in pages and posts by determining how many unique users create stories that include a page or its content. An insights module uses the data obtained by the interaction engine to synthesize graphical reports about page interactions and present the reports to page administrators.
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公开(公告)号：US10706367B2
公开(公告)日：2020-07-07
申请号：US14023136
申请日：2013-09-10
Applicant: Facebook, Inc.
Inventor： Guven Burc Arpat , Saiyad Shah , Srikant Ramakrishna Ayyar
Abstract: A social networking system infers a sentiment polarity of a user toward content of a page. The sentiment polarity of the user is inferred based on received information about an interaction between the user and the page (e.g., like, report, etc.), and may be based on analysis of a topic extracted from text on the page. The system infers a positive or negative sentiment polarity of the user toward the content of the page, and that sentiment polarity then may be associated with any second or subsequent interaction from the user related to the page content. The system may identify a set of trusted users with strong sentiment polarities toward the content of a page or topic, and may use the trusted user data as training data for a machine learning model, which can be used to more accurately infer sentiment polarity of users as new data is received.
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公开(公告)号：US10679147B2
公开(公告)日：2020-06-09
申请号：US15693235
申请日：2017-08-31
Applicant: Facebook, Inc.
Inventor： Guven Burc Arpat , Saiyad Shah , Srikant Ramakrishna Ayyar
Abstract: A social networking system infers a sentiment polarity of a user toward content of a page. The sentiment polarity of the user is inferred based on received information about an interaction between the user and the page (e.g., like, report, etc.), and may be based on analysis of a topic extracted from text on the page. The system infers a positive or negative sentiment polarity of the user toward the content of the page, and that sentiment polarity then may be associated with any second or subsequent interaction from the user related to the page content. The system may identify a set of trusted users with strong sentiment polarities toward the content of a page or topic, and may use the trusted user data as training data for a machine learning model, which can be used to more accurately infer sentiment polarity of users as new data is received.
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公开(公告)号：US10402758B2
公开(公告)日：2019-09-03
申请号：US14883571
申请日：2015-10-14
Applicant: Facebook, Inc.
Inventor： Srikant Ramakrishna Ayyar , Akin Husnu Babayigit , Jing Bao , Estelle Fume , Namit Rai Surana
Abstract: An online system maintains information describing interactions by its users with various applications. To allow evaluation of an application against other applications, the online system identifies additional applications having a threshold measure of similarity to the application and with which at least at threshold number of users interacted during a time interval. Based on a number of users who interacted with various additional applications and amounts of revenue obtained by additional applications, the online system selects a group of additional applications. The online system selects additional applications from the group based on scores for the additional applications determined from user interaction and revenue obtained by the additional applications and provides information about the additional applications selected from the group to an entity associated with the application.
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公开(公告)号：US10142379B2
公开(公告)日：2018-11-27
申请号：US14137676
申请日：2013-12-20
Applicant: Facebook, Inc.
Inventor： Janaka Liyanage , Wenrui Zhao , Louis Eisenberg , Danilo Torres de Sa Resende , Eric Michel Giovanola , David Gross-Baser , Ami Vora , Srikant Ramakrishna Ayyar , Ajoy Joseph Frank
Abstract: A social networking system includes pages created by users for providing content related to topics of interest. An interaction engine captures data and maintains analytical information about how users interact with pages and posts. When a user takes an action such as liking a page or a post, the interaction engine updates the page's activity history to reflect the activity and information about the user who took the action. The interaction engine also measures the reach of pages and posts, by determining how and from where each user viewed the page and its contents. The interaction engine further tracks the community's interest in pages and posts by determining how many unique users create stories that include a page or its content. An insights module uses the data obtained by the interaction engine to synthesize graphical reports about page interactions and present the reports to page administrators.
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Patent Agency Ranking
公开(公告)号：US20160140609A1
公开(公告)日：2016-05-19
申请号：US14542389
申请日：2014-11-14
Applicant: Facebook, Inc.
Inventor： Deniz Demir , Michael Desmond Pinkowish , Liang He , Yingsheng Gao , Islam Farid Hamed AbdelRahman , Alexandra Louise Krakaris , Ajoy Joseph Frank , Reid Steven Gershbein , Srikant Ramakrishna Ayyar , Guven Burc Arpat , Michael Lee Develin , Michael Nicholas Hudack , Maxim Sokolov , Wenrui Zhao , Jonathan Shottan , Aaron Ted Glemann , Ksenia Timonina
CPC classification number: G06Q30/0251 , G06F16/248 , G06F16/26 , G06F16/9038 , G06F16/9535 , G06Q30/0201
Abstract: A social networking system receives a selection of user characteristics defining a benchmark audience and a target audience, and generates audience metrics that compare the audiences across a set of user characteristics. These user characteristics include demographics, interests, purchasing activity, and actions on the social networking system. The audience metrics are provided to an advertiser who may select additional user characteristics to refine the benchmark or target audiences. The audience metrics may include an affinity score that compares the audience metrics for a particular type of interaction, and may normalize the frequency of interactions relative to interactions of the audience as a whole. Advertisers may use the defined audiences to establish targeting criteria for an advertisement, and may use existing targeting criteria to seed the selection of an audience.
Abstract translation: 社交网络系统接收定义基准受众和目标受众的用户特征选择，并生成与一组用户特征相比较的观众指标。 这些用户特征包括人口统计，兴趣，购买活动以及社交网络系统上的操作。 观众指标被提供给可以选择附加用户特征来改进基准或目标受众的广告客户。 观众指标可以包括比较特定类型的交互的观众度量的亲和度分数，并且可以规范相对于整体观众的交互的交互频率。 广告商可以使用定义的观众来建立广告的定位标准，并且可以使用现有的定位标准来选择观众。
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7.发明申请公开(公告)号：US20170109677A1
公开(公告)日：2017-04-20
申请号：US14883571
申请日：2015-10-14
Applicant: Facebook, Inc.
Inventor： Srikant Ramakrishna Ayyar , Akin Husnu Babayigit , Jing Bao , Estelle Fume , Namit Rai Surana
CPC classification number: G06Q10/063 , G06Q10/06393 , G06Q30/02 , G06Q30/0201 , G06Q40/12 , G06Q50/01 , H04L67/02 , H04L67/04 , H04L67/125 , H04L67/20 , H04L67/306
Abstract: An online system maintains information describing interactions by its users with various applications. To allow evaluation of an application against other applications, the online system identifies additional applications having a threshold measure of similarity to the application and with which at least at threshold number of users interacted during a time interval. Based on a number of users who interacted with various additional applications and amounts of revenue obtained by additional applications, the online system selects a group of additional applications. The online system selects additional applications from the group based on scores for the additional applications determined from user interaction and revenue obtained by the additional applications and provides information about the additional applications selected from the group to an entity associated with the application.
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公开(公告)号：US20160140620A1
公开(公告)日：2016-05-19
申请号：US14542397
申请日：2014-11-14
Applicant: Facebook, Inc.
Inventor： Michael Desmond Pinkowish , Deniz Demir , Alexandra Louise Krakaris , Liang He , Yingsheng Gao , Islam Farid Hamed AbdelRahman , Ajoy Joseph Frank , Reid Steven Gershbein , Srikant Ramakrishna Ayyar , Guven Burc Arpat , Michael Lee Develin , Michael Nicholas Hudack , Maxim Sokolov , Jonathan Shottan , Wenrui Zhao
CPC classification number: G06Q30/0269 , G06F16/9535
Abstract: A social networking system receives a selection of user characteristics defining a benchmark audience and a target audience, and generates audience metrics that compare the audiences across a set of user characteristics. These user characteristics include demographics, interests, purchasing activity, and actions on the social networking system. The audience metrics are provided to an advertiser who may select additional user characteristics to refine the benchmark or target audiences. The audience metrics may include an affinity score that compares the audience metrics for a particular type of interaction, and may normalize the frequency of interactions relative to interactions of the audience as a whole. Advertisers may use the defined audiences to establish targeting criteria for an advertisement, and may use existing targeting criteria to seed the selection of an audience.
Abstract translation: 社交网络系统接收定义基准受众和目标受众的用户特征选择，并生成与一组用户特征相比较的观众指标。 这些用户特征包括人口统计，兴趣，购买活动以及社交网络系统上的操作。 观众指标被提供给可以选择附加用户特征来改进基准或目标受众的广告客户。 观众指标可以包括比较特定类型的交互的观众度量的亲和度分数，并且可以规范相对于整体观众的交互的交互频率。 广告商可以使用定义的观众来建立广告的定位标准，并且可以使用现有的定位标准来选择观众。
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公开(公告)号：US20180012146A1
公开(公告)日：2018-01-11
申请号：US15693235
申请日：2017-08-31
Applicant: Facebook, Inc.
Inventor： Guven Burc Arpat , Saiyad Shah , Srikant Ramakrishna Ayyar
Abstract: A social networking system infers a sentiment polarity of a user toward content of a page. The sentiment polarity of the user is inferred based on received information about an interaction between the user and the page (e.g., like, report, etc.), and may be based on analysis of a topic extracted from text on the page. The system infers a positive or negative sentiment polarity of the user toward the content of the page, and that sentiment polarity then may be associated with any second or subsequent interaction from the user related to the page content. The system may identify a set of trusted users with strong sentiment polarities toward the content of a page or topic, and may use the trusted user data as training data for a machine learning model, which can be used to more accurately infer sentiment polarity of users as new data is received.
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10.发明申请Generating Audience Metrics Including Affinity Scores Relative to An Audience 审中-公开生成观众指标，包括与观众相关的亲和力得分公开(公告)号：US20160140605A1
公开(公告)日：2016-05-19
申请号：US14542411
申请日：2014-11-14
Applicant: Facebook, Inc.
Inventor： Michael Lee Develin , Guven Burc Arpat , Srikant Ramakrishna Ayyar
CPC classification number: G06Q30/0246 , H04L67/22 , H04W4/21
Abstract: A social networking system receives a selection of user characteristics defining a benchmark audience and a target audience, and generates audience metrics that compare the audiences across a set of user characteristics. These user characteristics include demographics, interests, purchasing activity, and actions on the social networking system. The audience metrics are provided to an advertiser who may select additional user characteristics to refine the benchmark or target audiences. The audience metrics may include an affinity score that compares the audience metrics for a particular type of interaction, and may normalize the frequency of interactions relative to interactions of the audience as a whole. Advertisers may use the defined audiences to establish targeting criteria for an advertisement, and may use existing targeting criteria to seed the selection of an audience.
Abstract translation: 社交网络系统接收定义基准受众和目标受众的用户特征选择，并生成与一组用户特征相比较的观众指标。 这些用户特征包括人口统计，兴趣，购买活动以及社交网络系统上的操作。 观众指标被提供给可以选择附加用户特征来改进基准或目标受众的广告客户。 观众指标可以包括比较特定类型的交互的观众度量的亲和度分数，并且可以规范相对于整体观众的交互的交互频率。 广告商可以使用定义的观众来建立广告的定位标准，并且可以使用现有的定位标准来选择观众。
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